Introduction: Pediatric out-of-hospital cardiac arrest (pOCHA) is fatal in >90% of cases. We previously found that OHCA incidence in non-Hispanic Black (Black) children was triple that of non-Hispanic White (White) children, particularly in infancy (<1y). Infant OHCA is unlikely to be witnessed and results in the lowest survival. Witnessed status and bystander cardiopulmonary resuscitation (bCPR) are often analyzed independently, despite potentially differences in bCPR effectiveness by witnessed status. We aimed to evaluate differences in witnessed status, bCPR and outcome by age/race in pOHCA. Hypothesis: We hypothesized that 1) Black pOHCA was less likely to be witnessed as driven by higher frequency of infantile OHCA, and 2) unwitnessed pOHCA would be associated with lower survival despite bCPR. Methods: We included all 911 calls for non-traumatic pOHCA in Houston, 2006-2024. We performed univariable and multivariable logistic regression for survival to hospital discharge. We then compared frequency of bCPR, witnessed status, and bCPR with witnessed status (3 variables) stratified by by age and race/ethnicity using chi-square and Fisher’s exact test. Results: Of 971 pOHCA, cases were predominantly Black (50.4%), followed by Hispanic (36.9%), White (10.1%), and other (2.6%). Survival to discharge was 6.9%. Black and Hispanic children less frequently survived to discharge (5.2% and 7.2% respectively) compared to non-White children (15.0%, p=0.003). Race/ethnicity was no longer significantly associated with survival after controlling for presenting rhythm and witnessed status. pOHCA cases receiving bCPR resulted in 8.8% survival to discharge when witnessed compared to 5.4% when unwitnessed (p=0.048). Sixty-three percent of OHCA in Black children was in infancy compared to White children (56.1%, p=0.02) and Black infants were less frequently witnessed compared to White infants (16.8% vs. 21.8%, p=0.01). Among White teens (ages 15-17y), 61.5% of OHCA was both witnessed and with bCPR compared to 29.0% and 22.0% in Black and Hispanic teens, respectively with higher proportions of bCPR among White teens ( Table ). Conclusions: OHCA in Black children are more likely to be infantile, less likely to be witnessed, and less likely when witnessed to receive bCPR, while Hispanic children are less likely to receive bCPR compared to White children. Findings will help target future interventions aimed at reducing disparities in outcomes.

Objectives To identify changes in emergency department (ED) use in Houston, TX during the mid-summer Hurricane Beryl-induced power outage to inform future targeted public health interventions. Methods Syndromic surveillance system ED visit daily counts for total visits, heat-related illness, carbon monoxide poisoning, acute cardiac condition, stroke, dialysis, and medication refills post-hurricane were statistically compared to the 2 weeks prior and plotted alongside the percentage of the population with power outage. Results Daily ED visits post-storm were statistically higher ( P < 0.05) than the 2 weeks prior for total visits and acute cardiac events (Day 1, 2); heat-related illness (Day 1-3); dialysis (Day 0-3); and carbon monoxide poisoning and medication refill (Day 1-9). Conclusions While 50% of the city experienced power outages from high winds, total ED visits, acute cardiac events, and heat-related illness were statistically higher in the first 3 days after Beryl than expected. Houston developed targeted messaging to mitigate these events in future disasters.

Objectives: Extracorporeal cardiopulmonary resuscitation (eCPR) is a promising treatment that could improve survival for refractory out-of-hospital (OHCA) patients. Healthcare systems may choose to start eCPR in the prehospital setting to optimize time to eCPR initiation and decrease low-flow time. We used geospatial modeling to evaluate different eCPR catchment strategies for a forthcoming prehospital eCPR program in Houston, Texas. Methods: We studied OHCAs treated by the Houston Fire Department from 2013 to 2021. We included OHCA patients aged 18-65 years old with an initial shockable rhythm that did not have prehospital return of spontaneous circulation (ROSC). Based on the geolocation that each OHCA occurred, we used geospatial modeling to identify eCPR candidates using four mapping strategies based on distance/drive time from the eCPR center: 1) 15-minute drive time, 20-minute drive time, 10-mile drive distance, and 15-mile drive distance. Results: Of 18,501 OHCAs during the study period, 881 met the eCPR inclusion criteria. Compared to non-eCPR candidates, eCPR candidates were younger (median age 52.3 years vs 62.7 years, p < 0.01) and had a higher proportion of males (76.6% v 59.8%, p < 0.01). Of eCPR candidate OHCAs, OHCAs occurred more frequently during the weekdays and the daytime, with 5:00 PM being the most common time. Using geospatial modeling and based on drive time, 219 OHCAs (24.9% of 881) were within a 15-minute drive, and 454 (51.5%) were within a 20-minute drive. Using drive distance, 383 eCPR candidates (43.5%) were within 10 miles, and 703 (79.8%) were within 15 miles. Conclusions: Using geospatial modeling, we demonstrated a process to estimate potential eCPR patient volumes for a geographic region. Geospatial modeling represents a viable strategy for healthcare systems to delineate eCPR catchment areas.

OBJECTIVES:During a drug overdose, research suggests individuals may not call 9-1-1 out of fear of criminal justice concerns. Of those that call, research is inconclusive about the disposition of the emergency transport. We evaluated transport outcomes for adults with opioid-related overdose in the Emergency Medical Services (EMS) of a large metropolitan city in the United States. METHODS:We reviewed the EMS incident report database from the patient care record system for years 2018 to 2022. We queried all records, searching for relevant terms, and two reviewers cross-checked the database to identify cases that did not result in death at the scene. Study outcome was defined as hospital transportation or no transportation. Multivariable logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (95% CI) for hospital transport with patient age, sex, race and ethnicity as the independent variables. RESULTS:We identified 5,482 cases of nonfatal opioid-related overdose. Of these, 4,984 (90.9%) were transported to the hospital; 37 (0.7%) were placed in police custody; 304 (5.5%) were not transferred; and 157 (2.9%) had unknown outcomes. Among 5,288 with data on the transport outcome, the majority were male (65%), and the highest proportion were White (39%). Compared to those who were not transported, each 1-year increase in age was related to a 2% increase in the odds of transportation (OR: 1.02, 95% CI: 1.01-1.02). Compared to White patients, Black and Hispanic patients were 43% OR: 1.43, 95% CI: 1.07-1.90) and 44% (OR: 1.44, 95% CI: 1.03-2.00) more likely to be transported. CONCLUSIONS:Individuals with suspected opioid-related overdose who call 9-1-1 are most often transported to the hospital. Current EMS procedures are successful at on-scene treatment and transportation; however, data on the long-term impact of opioid-related overdoses are still needed.

Background In the 2022–2023 global outbreak, the United States and state of Texas recorded a total of 31,277 and 3,085 confirmed monkeypox (Mpox) cases as of November 2023. This study aims to investigate the demographic characteristics and risk factors of Mpox outbreak in Houston and document the epidemiologic control measures implemented with their outcomes. Methods Houston Health Department received reports of suspected Mpox cases with electronic case reports and laboratory reports from healthcare providers within Houston. These were then investigated and reclassified as either confirmed or not using DNA polymerase chain reaction tests. All the reported cases received between May 2022 and January 2023 were included in this study using convenient sampling methods. Descriptive statistics using frequency distribution was used to analyze the sociodemographic, clinical features and travel history of the cases. A two-sided Chi-squared test was used to determine association between Mpox test results and risk factors with significant level set at P < 0.05. Other infection control measures such as community engagement, health education, tracking and contact tracing, vaccination, referrals and laboratory sample logistics were implemented by the health department. Results Out of the total of 1,625 suspected persons investigated for Mpox, 724 (44.6 %) tested positive. Among the 724 confirmed cases, male was 700 (96.7 %), females 20 (2.8 %), transgender male 1 (0.1 %), transgender female 3 (0.4 %). Age groups 30–39 years constituted 43.6 %, 18–29 years 27.4 %, 40–49 years 18.2 %, 50–59 years was 8 %. Race distribution of positive cases; Whites 43.4 %, African American 38.7 %, Asian 1.4 %. Risk factors with P < 0.05 included male gender, age groups 30–39 years and 40–49 years, travel history to Mpox endemic areas, recent sexual contact with known or suspected Mpox cases, human immunodeficiency virus seropositivity. Identifying as gay and bisexual were also significant risk factors for Mpox infection. Conclusion The timely implementation of primary and secondary prevention measures targeted at the most at-risk populations was very effective at curtailing the spread of Mpox infection within the city of Houston.

Building on the success of initiatives put forth during the COVID-19 pandemic response, US health officials are expanding wastewater surveillance programs to track other target pathogens and diseases of public health interest. The Houston Health Department in Houston, Texas, USA, conducted a hypothesis-generating study whereby infectious disease subject matter experts suggested potential targets. This study addressed 2 criteria recommended by the National Academies of Sciences, Engineering, and Medicine for selecting wastewater targets. Results can be used as a basis of a questionnaire for a future population-based study to recommend targets of highest priority to include for expanded wastewater sampling.

OBJECTIVES:To build on the success of wastewater surveillance during the COVID-19 pandemic, jurisdictions funded under the Centers for Disease Control and Prevention National Wastewater Surveillance System are looking to expand their wastewater programs to detect more pathogens. However, many public health agencies do not know how to use the collected wastewater data to formulate public health responses, underscoring a need for guidance. To address this knowledge gap, the Houston Health Department (HHD) developed a novel response framework that outlines an internal action plan that is tailored by pathogen type after detection of various pathogens in wastewater. MATERIALS AND METHODS:In July 2023, HHD met with subject matter experts (eg, bureau chiefs, program managers) in internal departments, including epidemiology, immunization, and health education, to discuss the general outline of the response framework and each department's anticipated role after pathogen detection. RESULTS:The internal framework established a flow for notifications and the actions to be taken by departments in HHD, with the goals of (1) ensuring timely and efficient responses to pathogen detections, (2) creating accountability within departments for taking their assigned actions, and (3) making certain that HHD was prepared for intervention implementation when a new pathogen was detected. PRACTICE IMPLICATIONS:As more public health agencies expand their wastewater surveillance programs to target additional pathogens, development of internal action plans tailored to departmental capacity and programs is an important step for public health agencies. The information compiled in this response framework can be a model for other public health agencies to adopt when expanding the scope of their wastewater monitoring systems.

Background: Data are conflicting regarding the association between first responder (FR) intervention and improved outcomes after out-of-hospital cardiac arrest (OHCA). We evaluated characteristics of agencies that have positive associations between FR interventions and outcomes.Methods: We analyzed the 2016-2021 national Cardiac Arrest Registry to Enhance Survival (CARES). We defined the exposures as FR CPR and AED. The outcome was survival with favorable neurologic status. We used logistic regression models to evaluate the association between FR interventions with OHCA outcome for each agency, stratifying agencies into positive association (95% confidence interval above 1) and no/inverse association (95% confidence below or including 1). We compared characteristics between cohorts.Results: For the association between FR CPR and outcomes, 21 agencies caring for 42,856 OHCAs had a positive association; 371 agencies car-ing for 449,824 OHCAs had no association. For FR AED, 47 agencies caring for 103,120 OHCAs had a positive association; 262 agencies caring for 327,761 OHCAs had no association. Comparing agency characteristics for FR CPR, agencies with a positive association had more annual OHCAs (+300), lower FR CPR rate (-11.3%), and lower FR AED rate (-10.8%). Comparing FR AED, agencies with a positive association had more OHCAs per year (+150.5), lower FR CPR rate (-6.8%), lower FR AED rate (-13.3%), lower response time (-0.6 minutes), and more OHCAs from high-income neighborhoods (+3.7%).Conclusion: FR AED more commonly had a positive association with outcomes than FR CPR. Agencies with better outcomes from FR interventions treated more OHCAs and had lower rates of FR intervention.

IntroductionFirst responder (FR) cardiopulmonary resuscitation (CPR) is an important component of out-of-hospital cardiac arrest (OHCA) care. However, little is known about FR CPR disparities.MethodsWe linked the 2014-2021 Texas Cardiac Arrest Registry to Enhance Survival (TX-CARES) database to census tract data. We included non-traumatic OHCAs that were not witnessed by 9-1-1 responders and did not receive bystander CPR. We defined census tracts as having >50% of a race/ethnicity: White, Black, or Hispanic/Latino. We also stratified patients into quartiles based on socioeconomic status (SES): household income, high school graduation, and unemployment. We also combined race/ethnicity and income to create a total of five mixed strata, comparing lower income and minority census tracts to high income White census tracts. We created mixed model logistic regression models, adjusting for confounders and modeling census tract as a random intercept. Using the models, we compared FR CPR rates for census race/ethnicity (Black and Hispanic/Latino compared to White), and SES quartiles (2nd, 3rd, and 4th quartiles compared to 1st quartiles). Secondarily, we evaluated the association between FR CPR and survival for all strata.ResultsWe included 21,966 OHCAs, and 57.4% had FR CPR. Evaluating the association between census tract characteristic and FR CPR, majority Black (aOR 0.30, 95% CI 0.22-0.41) had a lower bystander CPR rate when compared to majority White. The lowest income quartile had a lower rate of bystander CPR (aOR 0.80, 95% CI 0.65-0.98). The worst unemployment quartile was also associated with a lower rate of FR CPR (aOR 0.75, 95% CI 0.61-0.92). Combining race/ethnicity and income, middle income majority Black (30.0%; aOR 0.27, 95% CI 0.17-0.46) and low income >80% Black (31.8%; aOR 0.27, 95% CI 0.10-0.68) had lower rates of FR CPR in comparison to high income majority White. There were no associations between Hispanic or lower high school graduation and lower rates of FR CPR. We found no association between FR CPR and survival for all three strata.ConclusionWhile we identified disparities in FR CPR in low SES and majority Black census tracts, we identified no association between FR CPR and survival in Texas.

Introduction: While the goal of IV tissue plasminogen activator (TPA) is to prevent infarction, few data exist on averted stroke. Methods: Secondary analysis of a multicenter trial from 2014-2020 comparing outcomes between patients treated for stroke by mobile stroke unit (MSU) vs standard care (SC). The analytical cohort were patients with suspected stroke treated with IV TPA. The primary outcome was a time-defined averted stroke diagnosis, defined as a final diagnosis of stroke with resolution of presenting symptoms/signs by 24 hours. The secondary outcome was a tissue-defined averted stroke diagnosis, defined as a final diagnosis of stroke with resolution of presenting symptoms/signs by 24 hours and no acute infarction/hemorrhage on imaging. We used multivariable logistic regression to evaluate associations between study exposures (demographics, comorbidities, stroke characteristics) and outcomes. Results: Among 1009 patients with a median last known well-to-TPA time of 87 minutes, 276 patients (27%) had a time-defined averted stroke (31% MSU, 21% SC) and 159 patients (16%) had a tissue-defined averted stroke (18% MSU, 11% SC). Factors independently associated with time-defined averted stroke were younger age (OR, 0.98; 95% CI, 0.96-0.99), female sex (0R, 0.51; 95% CI, 0.36-0.74), hyperlipidemia (OR, 1.81, 95% CI, 1.24-2.64), normal premorbid function (0R, 2.22; 95% CI, 1.37-3.67), lower glucose (OR, 0.996; 95% CI, 0.993-0.999), lower MAP (OR, 0.991; 95% CI, 0.983-0.998), MSU care (OR, 1.77; 95% CI, 1.21-2.62), lower NIH stroke scale (OR, 0.89; 95% CI, 0.86-0.93), and no large vessel occlusion (LVO) (OR, 0.52; 95% CI, 0.32-0.83). For tissue-based averted stroke, younger age, female sex, hyperlipidemia, lower MAP, MSU treatment, lower NIH stroke scale, and no LVO were significantly associated. Conclusion: In a modern acute stroke trial, one-in-four patients treated with TPA for stroke recovered within 24 hours and one-in-six had no demonstrable brain injury on imaging. Younger age, female sex, hyperlipidemia, lower MAP, MSU care, lower stroke severity, and no LVO may increase the odds of averting stroke.

Public health surveillance systems for COVID-19 are multifaceted and include multiple indicators reflective of different aspects of the burden and spread of the disease in a community. With the emergence of wastewater disease surveillance as a powerful tool to track infection dynamics of SARS-CoV-2, there is a need to integrate and validate wastewater information with existing disease surveillance systems and demonstrate how it can be used as a routine surveillance tool. A first step toward integration is showing how it relates to other disease surveillance indicators and outcomes, such as case positivity rates, syndromic surveillance data, and hospital bed use rates. Here, we present an 86-week long surveillance study that covers three major COVID-19 surges. City-wide SARS-CoV-2 RNA viral loads in wastewater were measured across 39 wastewater treatment plants and compared to other disease metrics for the city of Houston, TX. We show that wastewater levels are strongly correlated with positivity rate, syndromic surveillance rates of COVID-19 visits, and COVID-19-related general bed use rates at hospitals. We show that the relative timing of wastewater relative to each indicator shifted across the pandemic, likely due to a multitude of factors including testing availability, health-seeking behavior, and changes in viral variants. Next, we show that individual WWTPs led city-wide changes in SARS-CoV-2 viral loads, indicating a distributed monitoring system could be used to enhance the early-warning capability of a wastewater monitoring system. Finally, we describe how the results were used in real-time to inform public health response and resource allocation.

Severely injured patients often depend on prompt prehospital triage for survival. This study aimed to examine the under-triage of preventable or potentially preventable traumatic deaths. A retrospective review of Harris County, TX, revealed 1848 deaths within 24 hours of injury, with 186 being preventable or potentially preventable (P/PP). The analysis evaluated the geospatial relationship between each death and the receiving hospital. Out of the 186 P/PP deaths, these were more commonly male, minority, and penetrating mechanisms when compared with NP deaths. Of the 186 PP/P, 97 patients were transported to hospital care, 35 (36%) were transported to Level III, IV, or non-designated hospitals. Geospatial analysis revealed an association between the location of initial injury and proximity to receiving Level III, IV, and non-designated centers. Geospatial analysis supports proximity to the nearest hospital as one of the primary reasons for under-triage.

Background: Few data exist on acute stroke treatment in patients with pre-existing disability (PD) since they are usually excluded from clinical trials. A recent trial of mobile stroke units (MSUs) demonstrated faster treatment and improved outcomes, and included PD patients. Aim: To determine outcomes with tissue plasminogen activator (tPA), and benefit of MSU versus management by emergency medical services (EMS), for PD patients. Methods: Primary outcomes were utility-weighted modified Rankin Scale (uw-mRS). Linear and logistic regression models compared outcomes in patients with versus without PD, and PD patients treated by MSU versus standard management by EMS. Time metrics, safety, quality of life, and health-care utilization were compared. Results: Of the 1047 tPA-eligible ischemic stroke patients, 254 were with PD (baseline mRS 2-5) and 793 were without PD (baseline mRS 0-1). Although PD patients had worse 90-day uw-mRS, higher mortality, more health-care utilization, and worse quality of life than non-disabled patients, 53% returned to at least their baseline mRS, those treated faster had better outcome, and there was no increased bleeding risk. Comparing PD patients treated by MSU versus EMS, 90-day uw-mRS was 0.42 versus 0.36 (p = 0.07) and 57% versus 46% returned to at least their baseline mRS. There was no interaction between disability status and MSU versus EMS group assignment (p = 0.67) for 90-day uw-mRS. Conclusion: PD did not prevent the benefit of faster treatment with tPA in the BEST-MSU study. Our data support inclusion of PD patients in the MSU management paradigm.

This study was undertaken to examine averted stroke in optimized stroke systems.

Wastewater surveillance is a passive and efficient way to monitor the spread of infectious diseases in large populations and high transmission areas such as preK-12 schools. Infections caused by respiratory viruses in school-aged children are likely underreported, particularly because many children may be asymptomatic or mildly symptomatic. Wastewater monitoring of SARS-CoV-2 has been studied extensively and primarily by sampling at centralized wastewater treatment plants, and there are limited studies on SARS-CoV-2 in preK-12 school wastewater. Similarly, wastewater detections of influenza have only been reported in wastewater treatment plant and university manhole samples. Here, we present the results of a 17-month wastewater monitoring program for SARS-CoV-2 (n = 2176 samples) and influenza A and B (n = 1217 samples) in 51 preK-12 schools. We show that school wastewater concentrations of SARS-CoV-2 RNA were strongly associated with COVID-19 cases in schools and community positivity rates, and that influenza detections in school wastewater were significantly associated with citywide influenza diagnosis rates. Results were communicated back to schools and local communities to enable mitigation strategies to stop the spread, and direct resources such as testing and vaccination clinics. This study demonstrates that school wastewater surveillance is reflective of local infections at several population levels and plays a crucial role in the detection and mitigation of outbreaks.

Background Mumps is a highly contagious disease spread by airborne droplets, making control especially difficult in congregate, crowded settings such as shelters and jails. A mumps outbreak in Honduras, starting in 2018 among adults who were unvaccinated, spread northward with Central Americans migrating to the United States. We describe 2 mumps outbreaks in Houston during 2019 among migrants at the Houston Contract Detention Facility (HCDF) and among inmates at the Harris County Jail (HCJ). Methods We investigated cases of acute onset parotitis. Three or more mumps cases in a facility was considered an outbreak. Confirmed cases had positive polymerase chain reactions (PCR). Probable cases were linked epidemiologically to a confirmed case in the same unit and a positive serology for serum anti-mumps immunoglobulin M (IgM) antibody. Outbreak control measures included enhanced surveillance, isolation of housing units, educational outreach, and immunization with Measles, Mumps, Rubella (MMR) vaccine. Results At HCDF, during a 10-month period, we investigated 42 possible cases. Of the possible cases, 28 were lab-confirmed with 9 probable, 4 ruled out, and 1 vaccine reaction. All were migrants. At HCJ, during a 3-month period, we investigated 60 suspect cases; 20 cases were lab-confirmed, 13 probable and 27 ruled out. All but 2 were inmates. Only about a third of those offered MMR vaccination accepted. Conclusions Successful outbreak resolution required close cooperation with HCDF and HCJ with ongoing surveillance, isolation of units with cases and MMR vaccination. Such facilities will have outbreaks; regular communications with local public health could improve response. Mumps cases among migrants traveling from Central America produced 2 Houston outbreaks in 2019. Delayed reporting of both outbreaks, limited acceptance of immunization, and repeated transfers of detainees and jail inmates were challenges in controlling the outbreaks.

Since the start of the COVID-19 pandemic, wastewater surveillance has emerged as a powerful tool used by public health authorities to track SARS-CoV-2 infections in communities. In May 2020, the Houston Health Department began working with a coalition of municipal and academic partners to develop a wastewater monitoring and reporting system for the city of Houston, Texas. Data collected from the system are integrated with other COVID-19 surveillance data and communicated through different channels to local authorities and the general public. This information is used to shape policies and inform actions to mitigate and prevent the spread of COVID-19 at municipal, institutional, and individual levels. Based on the success of this monitoring and reporting system to drive public health protection efforts, the wastewater surveillance program is likely to become a standard part of the public health toolkit for responding to infectious diseases and, potentially, other disease-causing outbreaks.